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Research on the Robustness of Air Transportation System Based on Complex Network

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DOI: 10.23977/cpcs.2023.070109 | Downloads: 5 | Views: 330

Author(s)

Zejian Liu 1, Limin Liu 1

Affiliation(s)

1 Zhejiang Wanli University, Ningbo, China

Corresponding Author

Zejian Liu

ABSTRACT

Air transportation has the characteristics of fast transportation, high transportation efficiency and independent of ground conditions, so the economic benefits brought by air transportation greatly exceed those of other transportation modes. However, the safety of the air transportation system is constantly challenged. In recent years, the natural environment has changed due to rapid economic development, and meteorological disasters have occurred from time to time. In addition, flight cancellations due to airline aircraft turnarounds, technical aircraft failures, and traffic jams at airport terminals have become commonplace. To address the problem of insufficient stability of China's air transportation system, cities and flights with civil airports existing by the third quarter of 2022 are taken as the research objects, and the network model of China's air transportation system is constructed by using Ucinet software with the cities where airports are located as nodes and regular routes between airports as connecting edges. Then, robustness simulation experiments are conducted by random and intentional disruptions to analyze the extent to which the network can maintain its normal operation after the nodes in the network are down. The conclusions show that the robustness of the Chinese air transport network is better than that of the intentional disturbance in the case of random disturbance. Finally, suggestions for countermeasures that can improve the stability of the air transportation system are given.

KEYWORDS

Complex networks, air transportation, network structure, robustness analysis

CITE THIS PAPER

Zejian Liu, Limin Liu, Research on the Robustness of Air Transportation System Based on Complex Network. Computing, Performance and Communication Systems (2023) Vol. 7: 73-81. DOI: http://dx.doi.org/10.23977/cpcs.2023.070109.

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